How to create AI videos with Hermes Agent and Higgsfield
Connect Hermes Agent to Higgsfield’s CLI, write a production-ready brief, approve the credit cost, and refine AI video with focused follow-ups.

Lamina Team
Product Team @ Lamina

The quickest dependable route to AI video with Hermes Agent and Higgsfield is simple: connect Higgsfield’s CLI and Skills, then give Hermes a compact production brief covering subject, setting, action, format, duration, and references. This is production direction, not a slot machine. Require the credit cost before approval, and change one creative variable per revision.
This setup fits teams that want an agent to handle the planning conversation while keeping Higgsfield’s model choices and asset controls in view. Higgsfield’s official Hermes guide covers installation, browser authentication, Skills setup, model selection, pre-generation credit review, and iterative refinement. Assets made through the CLI also show up in Higgsfield Assets.
| Metric | Value | Source |
|---|---|---|
| Required local runtime | Node.js and npm | higgsfield.aias of 2026-10-13 |
| Required Higgsfield access | Active paid subscription with available credits | higgsfield.aias of 2026-10-13 |
| Seedance 2.0 image-to-video clip length | 4–15 seconds | docs.higgsfield.ai |
| Seedance 2.0 available output resolutions | 480p through 4K | docs.higgsfield.ai |
| Credit treatment for CLI and MCP generations | Credits are deducted; web-only Unlimited and plan-included free generations do not apply | higgsfield.ai |
What do you need before creating a video with Hermes Agent and Higgsfield?
You need Hermes Agent, Node.js with npm, Higgsfield CLI plus Skills, and a paid Higgsfield subscription with credits available. The paid plan and credits are required. An agent-triggered generation does not fall under Higgsfield’s web-only Unlimited allowance or its included free-generation allowances.
Use a machine and terminal environment where Hermes can reach npm and complete a browser sign-in. The handoff is intentional: the terminal starts login, then the browser grants access to the Higgsfield account charged for generations. Keep account selection tidy when your team has more than one Higgsfield workspace.
Higgsfield supports text-based, image-based, and multimodal-reference video workflows across several model families. That gives Hermes room to match the job to what you actually have: an idea in words, a finished product still, or a set of visual references. State the delivery constraints first. A nine-second vertical product reveal is a different job from a landscape cinematic sequence.
Set up Hermes Agent and Higgsfield in five steps
Confirm the account and runtime
Open the environment running Hermes Agent and verify that Node.js and npm are available. Then sign in to the Higgsfield account with an active paid subscription and sufficient credits. That avoids getting a solid creative request all the way to approval, then stopping cold.

Install the Higgsfield CLI
Run `npm i -g @higgsfield/cli`. Higgsfield documents this as the global CLI installation command for its agent connection.

Authenticate through the browser
Run `higgsfield auth login`, then complete the browser sign-in flow. Do not skip it, and do not casually share an authenticated terminal session. The signed-in account pays the credits.

Add Higgsfield Skills to Hermes
Run `npx skills add higgsfield-ai/skills`. This Skills package gives Hermes the companion capabilities it needs to work with Higgsfield through the CLI connection.

Run a small approval-gated test
Give Hermes one short video request, with instructions to show the selected model, requested format and duration, and credit cost before generation. Approve only when those details match the deliverable. Then find the finished asset in Higgsfield Assets and inspect it before scaling up variants.

How should you brief Hermes Agent for an AI video?
Brief Hermes Agent as you would a video producer receiving a shot list: subject, setting, visible action, aspect ratio, duration, and references. Higgsfield’s official workflow calls for those details, then has the creator select—or let the system select—a compatible model before generation.
Start with what has to stay recognizable. For ecommerce, name the product, where it sits, what moves, and what cannot drift: “Create a 9:16, 8-second product reveal of this cobalt running shoe on a wet black plinth; slow clockwise camera orbit; droplets on the floor; preserve the supplied shoe silhouette, cobalt color, white midsole, and logo placement.” That brief gives Hermes composition, motion, finish, duration, and constraints.
References are working inputs, not decoration. If you have a product image, tell Hermes it is the reference image and whether it should serve as the visual starting point. Higgsfield’s Seedance 2.0 image-to-video documentation describes a reference image as a possible first frame; the workflow also allows optional end frames and generated audio. Ask for the controls the asset needs, not every setting available on the first pass.
Name a model only when you have a reason. Otherwise, tell Hermes to select a compatible Higgsfield model for the supplied inputs and requested output. Use this: “Choose a compatible image-to-video workflow, explain the choice briefly, display the credit cost, and wait for my approval.” It keeps the two decisions that matter ahead of compute: whether the workflow accepts your inputs and whether the cost is acceptable.
The answer is yes. That is exactly what the Higgsfield MCP does, and once you have run Higgsfield this way, the website version of the workflow starts to feel like hard work.
Which prompt format produces a usable first video draft?
A usable first draft starts with six explicit fields: subject, setting, action, camera or framing, delivery specification, and guardrails. Hermes can turn plain language into a Higgsfield request. It cannot guess the crop, focal point, product-fidelity rules, or motion you failed to name.
Use this template: “Create a [duration] [aspect ratio] video of [subject] in [setting]. The action is [movement]. Frame it as [camera/framing]. Use [reference image or references] as the visual guide. Preserve [brand-critical details]. Use [lighting/color direction]. Select a compatible Higgsfield workflow or model. Before generating, display the credit cost and wait for approval.”
For social, request vertical explicitly; do not assume the subject implies it. For a PDP motion asset, make material detail and silhouette the guardrails: “preserve the brushed-metal edge, cream fabric weave, and button count.” For a campaign concept, lead with staging and camera movement. Hermes needs instructions it can convert into a generation request, not a word like “premium” with no visual consequence.
Keep the first render narrow. Asking at once for rapid motion, a difficult camera move, new audio, multiple references, exact product geometry, and a dramatic setting makes misses hard to diagnose. Higgsfield’s workflow ends in review and refinement, so build around one deliberate first hypothesis rather than a giant prompt.
How do credits work for Hermes and Higgsfield generations?
Every generation started through Higgsfield’s MCP, CLI, Canvas, Supercomputer, or other automated tools uses Higgsfield credits, with the exact charge shown before confirmation. Tell Hermes to review cost on every run. This matters most when the agent selects a model or the team is testing several treatments.
Do not build an agent workflow around Higgsfield Unlimited or the free generations included with a plan. Higgsfield’s credit policy restricts those allowances to higgsfield.ai, excluding CLI and MCP generation. Subscription credits do not roll over either, so monthly creative planning should favor deliberate batches over unused budget carried forward.
Credit cost pays for a candidate asset, not a publish-ready creative. It leaves out the human time needed to check framing, product details, motion, lighting, brand fit, revisions, editing, and media spend. Put approval before generation, then keep enough credits for the second and third passes that often turn an interesting draft into a deployable variant.
How do you refine a Higgsfield video without losing the good parts?
Change one variable at a time, and name what must remain fixed. After the first render, choose one correction—camera movement, subject action, lighting, color grade, timing, or framing—then tell Hermes to preserve the successful details while changing that element only.
If the product is accurate but the framing is too wide, say: “Keep the same shoe, plinth, wet-floor reflections, cobalt color, and lighting. Change only the framing to a tighter three-quarter hero view, with the shoe occupying roughly two-thirds of the vertical frame.” If the camera feels static, keep everything else and request a slow left-to-right dolly. You get a reviewable decision trail instead of a fresh unrelated video every time.
Review problems in the order viewers catch them: product or primary subject first, then composition, movement, lighting, and final grade. For a brand-critical hero asset, inspect the opening frame, midpoint, and closing frame before approval. Higgsfield supports asynchronous retrieval for video results, so run generation as a production queue with a defined review handoff, not a one-click publishing system.
When should you use a reference image or an end frame?
Use a reference image when the opening product, person, object, or visual language needs a firm anchor. Use an end frame when the clip has to land on a specific final composition. Higgsfield’s Seedance 2.0 image-to-video documentation supports a reference image as a first frame and optional end frames, which suits short clips needing a controlled start and finish.
For a product reveal, the first-frame reference can lock in the SKU, colorway, label placement, and initial camera position. An end frame can guide the clip toward a clean finish for a product card, end slate, or editor handoff. Tell Hermes plainly which file sets the opening image and which file defines the destination.
Seedance 2.0 supports clips from 4 to 15 seconds and resolutions from 480p to 4K. Choose duration around the one action viewers need to see. A 4-second clip can handle a quick reveal or orbit; a 15-second clip allows a longer action arc and gives the reviewer more frames to check.
What should you check before publishing an AI video?
Before publishing, confirm the video still shows the intended subject, uses the requested format and duration, and preserves every brand-critical reference detail. Then inspect the motion. Watch for abrupt shape shifts, unstable logos or labels, unwanted material-texture changes, and framing that crops the focal point at the wrong moment.
Compare the asset against the original brief during review. If you requested a vertical 9:16 sequence with the product held center-frame, do not approve an attractive clip that uses a different crop or repeatedly lets the product drift to the edge. Give Hermes a correction it can act on: “Keep all styling; hold the product centered from second two onward.”
Human art direction is still the control layer. Hermes and Higgsfield can generate the new concept, complex styling, on-model motion, and material-rich scene; a reviewer decides whether the final version is faithful enough for the brand and channel. Strong prompts cut revision cycles. Careful approval keeps a plausible draft from becoming an expensive mistake.
What are the common Hermes Agent and Higgsfield setup mistakes?
The usual setup failure is installing the CLI without completing browser authentication, followed by a generation request with no available paid-plan credits. Run the three documented connection commands in order—install, authenticate, add Skills—then make one small test request before assigning a batch.
The second mistake is skipping the cost check. Higgsfield displays the exact credit charge before confirmation, but Hermes needs a direct instruction to stop and wait for approval. Put that line in the reusable prompt template instead of trusting someone to remember it under deadline.
The third mistake is rewriting the whole brief after every result. If a render needs a tighter crop, do not also replace the background, alter lighting, add audio, and rewrite the action. Keep what worked, change one named variable, and leave a revision history the next reviewer can follow.

